
Introduction To Statistics And Data Analysis
6th Edition
ISBN: 9781337794503
Author: PECK
Publisher: Cengage
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Textbook Question
Chapter 13.1, Problem 11E
Consider the data and estimated regression line from the previous exercise.
- a. Calculate and interpret the value of r2.
- b. Calculate and interpret the value of se.
13.10 Hormone replacement therapy (HRT) is thought to increase the risk of breast cancer. The accompanying data on
x = Percent of women using HRT
and
y = Breast cancer incidence (cases per 100,000 women) for a region in Germany for 5 years appeared in the paper “Decline in Breast Cancer Incidence after Decrease in Utilisation of Hormone Replacement Therapy” (Epidemiology [2008]: 427–430). The authors of the paper used a simple linear regression model to describe the relationship between HRT use and breast cancer incidence.
- a. What is the equation of the estimated regression line?
- b. What is the estimated average change in breast cancer incidence associated with a 1 percentage point increase in HRT use?
- c. What breast cancer incidence would be predicted in a year when HRT use was 40%?
- d. Should this regression model be used to predict breast cancer incidence for a year when HRT use was 20%? Explain.
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Using the accompanying Home Market Value data and associated regression line,
Market ValueMarket Valueequals=$28,416+$37.066×Square
Feet, compute the errors associated with each observation using the formula
e Subscript ieiequals=Upper Y Subscript iYiminus−ModifyingAbove Upper Y with caret Subscript iYi
and construct a frequency distribution and histogram.
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Part 1
Construct a frequency distribution of the errors,
e Subscript iei.
(Type whole numbers.)
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e Subscript iei
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e Subscript iei
less than or equals≤minus−50005000
5
minus−50005000less than<
e Subscript iei
less than or equals≤0
21
0less than<
e Subscript iei
less than or equals≤50005000
9…
The managing director of a consulting group has the accompanying monthly data on total overhead costs and professional labor hours to bill to clients. Complete parts a through c
Overhead Costs Billable Hours345000 3000385000 4000410000 5000462000 6000530000 7000545000 8000
Using the accompanying Home Market Value data and associated regression line,
Market ValueMarket Valueequals=$28,416plus+$37.066×Square
Feet, compute the errors associated with each observation using the formula
e Subscript ieiequals=Upper Y Subscript iYiminus−ModifyingAbove Upper Y with caret Subscript iYi
and construct a frequency distribution and histogram.
Square Feet Market Value1813 911001916 1043001842 934001814 909001836 1020002030 1085001731 877001852 960001793 893001665 884001852 1009001619 967001690 876002370 1139002373 1131001666 875002122 1161001619 946001729 863001667 871001522 833001484 798001589 814001600 871001484 825001483 787001522 877001703 942001485 820001468 881001519 882001518 885001483 765001522 844001668 909001587 810001782 912001483 812001519 1007001522 872001684 966001581 86200
Chapter 13 Solutions
Introduction To Statistics And Data Analysis
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